Senior Analytical Consultant Finance & Payment (m/f/d) at Experian

Dusseldorf, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Sep, 26

Salary

0.0

Posted On

16 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Analytical Consulting, Credit Risk, Fraud Analytics, Marketing Analytics, Statistical Modeling, Machine Learning, Data Mining, Python, PySpark, Cloud Data Platforms, Data Visualization, Financial Services, Payments Industry, Pre-sales, Customer Intelligence

Industry

Information Services

Description

Company Description Experian is a global data and technology company that empowers people and businesses around the world. With our unique combination of data, analytics and software, we have established ourselves as one of the leading service providers for risk, fraud and identity management in the DACH region. Experian gives individuals better access to financial services such as loans, insurance, mobile phone contracts and online shopping. We help companies of all sizes and industries make smarter decisions, lend more responsibly and protect themselves and their customers from identity fraud and crime. We invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. We employ 25,100 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN). Our headquarters are in Dublin, Ireland. Job Description We are looking for a Senior Analytical Consultant (m/f/d) with experience in the financial services and payments industry to join our Customer Analytics team, which develops data-driven solutions for our clients. This role is central to delivering impactful analytics, supporting pre-sales activities, and driving innovation in areas such as credit risk, fraud detection, and customer intelligence. The Senior Consultant combines technical expertise with business knowledge to ensure our clients realize measurable value from Experian's local and regional data products and analytical services. We offer the flexibility to work in a hybrid model from our offices in Düsseldorf or Frankfurt. You will report to the Customer Analytics Director in Germany. Main Responsibilities Analyze large and diverse datasets to create relevant insights that support decisions in credit risk, fraud analytics, and customer behavior Build advanced statistical models and machine learning solutions for complex client challenges Guide pre-sales activities by assessing client needs, developing tailored solution concepts, and supporting proof-of-concept projects Collaborate with teams — including Sales, Product Development, and Marketing — to ensure seamless integration of analytics into client solutions Strengthen client relationships, identify new business opportunities, and support business development projects Qualifications University degree in Mathematics, Statistics, Data Science, Computer Science, or a related field +5 years of hands-on experience in data analytics, analytical consulting, or related advisory roles, focused on credit risk, fraud analytics, or marketing analytics 4+ or more years of experience in banking regulatory requirements and analytical use cases within the financial services and payments industry 4+ or more years of experience working with statistical modeling, machine learning, and data mining; proficiency in Python or similar programming languages and PySpark 4+ or more years of experience with cloud-based data and analytics platforms and data visualization tools Fluent German and English language skills Additional Information Benefits/Perks: A high degree of autonomy in a dynamic, internationally oriented organization A motivated team that values innovation and collaboration Great compensation package and attractive employee benefits Flexible working hours and remote work options Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Hybrid Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time

Responsibilities

Analyze large datasets to provide insights for credit risk, fraud, and customer behavior while building advanced statistical and machine learning models. Support pre-sales activities by developing tailored solution concepts and collaborating with cross-functional teams to integrate analytics into client solutions.